Supersemantiken für Wissensextraktione.

In several areas of science, the publication rate exceeds the human reading speed. Text mining tackles this problem by automatically extracting relevant knowledge from scientific articles. This thesis introduces Supersemantics as an approach to integrate different linguistic and other adjacent fields. Supersemantics connects approaches from syntax, semantics, pragmatics and corpus linguistics as well as approaches from logic and statistics and bridges the boundaries between typical units of linguistics as well as external knowledge.